Update README.md

README.md

@@ -25,8 +25,7 @@ base_model_relation: finetune
 Developed by **M Mashhudur Rahim (XythicK)** at **Arkito Lab** (A Non-Profit Research Organization).
 
 ## 🚀 Model Overview
-- **Model Architecture:** YOLOv26-Nano
-- **Model Size:** 5.2 MB
+- **Model Size:** 5.4 MB
 - **Target Domain:** Aerial/Drone View
 - **Inference Speed:** ~2.7ms per image
 
@@ -80,7 +79,7 @@ model = YOLO('best.pt')
 results = model.predict(source='drone_footage.mp4', imgsz=640, conf=0.25)
 results[0].show()
 ```
-🏢 About Arkito Lab
+### 🏢 About Arkito Lab
 Arkito Lab is a non-profit organization dedicated to open-source research and the development of AI solutions for humanitarian and defense technology.
 
 Maintained by: M Mashhudur Rahim (XythicK)
@@ -91,5 +90,5 @@ If you use this model in your research or in your use please cite
   title = {VeritaScan: Lightweight YOLOv11-Nano Object Detection for Aerial Military Surveillance},
   year = {2026},
   publisher = {Arkito Lab},
-  url = {https://huggingface.co/XythicK/VeritaMilitary},
+  url = {https://huggingface.co/XythicK/VeritaScan},
 }```